class_docstr: ModelNet40.
code: def _info(self):
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(
              {
                  "points": tfds.features.Tensor(
                      shape=(2048, 3), dtype=tf.float32
                  ),
                  "label": tfds.features.ClassLabel(names=_LABELS),
              }
          ),
          supervised_keys=("points", "label"),
          homepage="https://modelnet.cs.princeton.edu",
          citation=_CITATION,
      )
  
file_path: graphics/tensorflow_graphics/datasets/modelnet40/modelnet40.py
imports: import os
  import h5py
  import tensorflow
  import tensorflow_datasets
label_desc: Use image node_id 2 for calling the ModelNet40 obj's underlying member method code with example usage: obj._info() and returns: tfds